Development of a monitoring system for Huangjiu storage based on electrical conductivity

Author:

Hu Jian123,Liu Shuangping13,Nan Mujia4,Liu Caixia3,Han Xiao1,Mao Jian13ORCID

Affiliation:

1. National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, School of Food Science and Technology, Jiangnan University , Wuxi , China

2. Shanghai Jinfeng Wine Co., Ltd. , Shanghai , China

3. Jiangnan University (Shaoxing) Industrial Technology Research Institute , Shaoxing , China

4. Basic Department, University of Tibetan Medicine , Lhasa , China

Abstract

Abstract In order to quickly detect the rancidification of Huangjiu in pottery jars, this study developed a fast detection method based on the principle of electrical conductivity changes caused by microbial contamination. The change in total acid in Huangjiu was positively correlated with the increase of electrical conductivity. This method was applied to an online monitoring system for Huangjiu storage in stainless steel tanks. When the electrical conductivity exceeds the normal fluctuation range (mean+3 standard deviations) of previous data, the monitoring system recognizes microbial contamination. By optimizing the conductivity-temperature compensation coefficient and conductivity statistical method, the standard deviation of the method was reduced and the sensitivity of microbial pollution monitoring was improved. The ranges of conductivity and compensation coefficient of common types of Huangjiu were estimated. Interference in conductivity measurements due to environmental factors was minimised through the synchronous comparison of conductivity data for multiple tanks of Huangjiu. The standard deviation, which indicates the fluctuation range of the system, decreased from 143 to 2 μS/cm. The monitoring system was then applied in Huangjiu storage tanks with capacities of 60 t and 300 t. Through the comparison of conductivity data change, the abnormal signals caused by microbial contamination during the storage of Huangjiu were found over time. Meanwhile, through offline detection of total acid in Huangjiu, the effectiveness of microbial contamination online detection was verified.

Funder

National Natural Science Foundation of China

Five-Year Plan of Tibetan

Publisher

Oxford University Press (OUP)

Subject

Food Science

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